de.jstacs.classifiers.assessment
Class KFoldCrossValidationAssessParameterSet

java.lang.Object
  de.jstacs.parameters.ParameterSet
      de.jstacs.classifiers.assessment.ClassifierAssessmentAssessParameterSet
          de.jstacs.classifiers.assessment.KFoldCrossValidationAssessParameterSet

All Implemented Interfaces:

GalaxyConvertible, Storable, Cloneable

public class KFoldCrossValidationAssessParameterSet
extends ClassifierAssessmentAssessParameterSet

This class implements a ClassifierAssessmentAssessParameterSet that must be used to call method assess( ... ) of a KFoldCrossValidation.
It contains user specific parameters necessary for a run of a KFoldCrossValidation.

Author:

Andre Gohr (bioinf (nospam:.) ag (nospam:@) googlemail (nospam:.) com)

Nested Class Summary

Nested classes/interfaces inherited from class de.jstacs.parameters.ParameterSet

ParameterSet.ParameterList

Field Summary

Fields inherited from class de.jstacs.parameters.ParameterSet

errorMessage, parameters, parent

Constructor Summary

KFoldCrossValidationAssessParameterSet()
Constructs a new KFoldCrossValidationAssessParameterSet with empty parameter values.

KFoldCrossValidationAssessParameterSet(DataSet.PartitionMethod dataSplitMethod, int elementLength, boolean exceptionIfMPNotComputable, int k)
Constructs a new KFoldCrossValidationAssessParameterSet with given parameter values.

KFoldCrossValidationAssessParameterSet(StringBuffer representation)
The standard constructor for the interface Storable.

Method Summary

ArrayList<Result>	getAnnotation() Returns a Collection of parameters containing informations about this ClassifierAssessmentAssessParameterSet.
DataSet.PartitionMethod	getDataSplitMethod() Returns the DataSet.PartitionMethod defining how the mutually exclusive random-splits of user supplied data are generated.
int	getK() Returns the number of mutually exclusive random-splits of user supplied data defined by this KFoldCrossValidationAssessParameterSet.

Methods inherited from class de.jstacs.classifiers.assessment.ClassifierAssessmentAssessParameterSet

getElementLength, getExceptionIfMPNotComputable

Methods inherited from class de.jstacs.parameters.ParameterSet

clone, fromGalaxy, fromXML, getAllParameterNames, getComment, getComment, getErrorMessage, getIndex, getName, getName, getNumberOfParameters, getParameterAt, getParameterForName, getParent, hasDefaultOrIsSet, initParameterList, initParameterList, isAtomic, isComparable, parametersLoaded, reset, setParent, toGalaxy, toXML

Methods inherited from class java.lang.Object

equals, finalize, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait

Constructor Detail

KFoldCrossValidationAssessParameterSet

public KFoldCrossValidationAssessParameterSet()
                                       throws UnsupportedOperationException,
                                              ParameterException

Constructs a new KFoldCrossValidationAssessParameterSet with empty parameter values. This constructor should only be used to create "filled" KFoldCrossValidationAssessParameterSets, i.e. to create KFoldCrossValidationAssessParameterSets from a set of values and not to fill it from the platform user interface.

Throws:

UnsupportedOperationException - if the KFoldCrossValidationAssessParameterSet could not be constructed or the parameters could not be loaded

ParameterException - if the parameter for the DataSet.PartitionMethod could not be created

See Also:

ClassifierAssessmentAssessParameterSet.ClassifierAssessmentAssessParameterSet()

KFoldCrossValidationAssessParameterSet

public KFoldCrossValidationAssessParameterSet(StringBuffer representation)
                                       throws NonParsableException

The standard constructor for the interface Storable. Constructs a KFoldCrossValidationAssessParameterSet out of its XML representation.

Parameters:

representation - the XML representation as StringBuffer

Throws:

NonParsableException - if the KFoldCrossValidationAssessParameterSet could not be reconstructed out of the XML representation (the StringBuffer representation could not be parsed)

See Also:

ClassifierAssessmentAssessParameterSet.ClassifierAssessmentAssessParameterSet(StringBuffer), Storable

KFoldCrossValidationAssessParameterSet

public KFoldCrossValidationAssessParameterSet(DataSet.PartitionMethod dataSplitMethod,
                                              int elementLength,
                                              boolean exceptionIfMPNotComputable,
                                              int k)
                                       throws ParameterException

Constructs a new KFoldCrossValidationAssessParameterSet with given parameter values.

Parameters:

dataSplitMethod - defines the method used to split user supplied data into k mutually exclusive random-splits (available options are: DataSet.PartitionMethod.PARTITION_BY_NUMBER_OF_ELEMENTS and DataSet.PartitionMethod.PARTITION_BY_NUMBER_OF_SYMBOLS)

elementLength - defines the length of elements (sequences) the classifiers to be assessed are able to classify

exceptionIfMPNotComputable - a KFoldCrossValidationAssessParameterSet is used in combination with a NumericalPerformanceMeasureParameterSet-object to call assess( ... )-methods of KFoldCrossValidations, if exceptionIfMPNotComputable==true an Exception is thrown in case of a user selected measure parameters that could not be computed.

k - defines the number of mutually exclusive random-splits of user supplied data. Each part is used once as a test dataset and the union of the remaining k-1 parts is once used as train dataset. Thus k also defines how many ( k) repeated classifier trainings and classifier evaluations (tests) are performed.

Throws:

ParameterException - if the parameter for the DataSet.PartitionMethod could not be created

See Also:

ClassifierAssessmentAssessParameterSet.ClassifierAssessmentAssessParameterSet(int, boolean), DataSet.PartitionMethod

Method Detail

getK

public int getK()

Returns the number of mutually exclusive random-splits of user supplied data defined by this KFoldCrossValidationAssessParameterSet.

Returns:

the number of mutually exclusive random-splits of user-supplied data defined by this KFoldCrossValidationAssessParameterSet

getDataSplitMethod

public DataSet.PartitionMethod getDataSplitMethod()

Returns the DataSet.PartitionMethod defining how the mutually exclusive random-splits of user supplied data are generated.

Returns:

the DataSet.PartitionMethod defining how the mutually exclusive random-splits of user supplied data are generated

See Also:

DataSet.PartitionMethod

getAnnotation

public ArrayList<Result> getAnnotation()

Description copied from class: ClassifierAssessmentAssessParameterSet

Returns a Collection of parameters containing informations about this ClassifierAssessmentAssessParameterSet.

Overrides:

getAnnotation in class ClassifierAssessmentAssessParameterSet

Returns:

a Collection of parameters containing informations about this ClassifierAssessmentAssessParameterSet